RRepoGEO

REPOGEO REPORT · LITE

wangzongming/esp-ai

Default branch master · commit 2cdd9e91 · scanned 6/5/2026, 4:27:00 PM

GitHub: 834 stars · 109 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface wangzongming/esp-ai, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's main heading to clarify target hardware and solution type

    Why:

    CURRENT
    <h1>ESP-AI</h1>

硬件接入AI最简单、最低成本的方案<br/>The simplest and lowest cost solution for any item to access AI
    COPY-PASTE FIX
    <h1>ESP-AI: Simplest, Lowest-Cost ASR+LLM+TTS for ESP32 & Arduino</h1>

An integrated, end-to-end AI dialogue solution specifically designed for ESP32 and Arduino development boards, enabling voice and AI capabilities with minimal effort and cost.
  • mediumtopics#2
    Add more specific solution-oriented topics

    Why:

    CURRENT
    aiot, arduino, arduino-llm, esp, esp-ai, esp32, esp32-ai, esp32-idf, esp32-llm, esp8266, espai, iat, llm, rag, tts
    COPY-PASTE FIX
    aiot, arduino, arduino-llm, esp, esp-ai, esp32, esp32-ai, esp32-idf, esp32-llm, esp8266, espai, iat, llm, rag, tts, voice-assistant, embedded-ai, iot-voice, edge-ai, speech-to-text, text-to-speech
  • lowabout#3
    Refine the repository description for clarity and specificity

    Why:

    CURRENT
    The simplest and lowest-cost AI integration solution. If you like this project, please give it a Star~ | 最简单、最低成本的AI接入方案。喜欢本项目的话点个 Star 吧~
    COPY-PASTE FIX
    An integrated, end-to-end ASR, LLM, and TTS solution for ESP32 and Arduino development boards, offering the simplest and lowest-cost way to add AI dialogue capabilities to embedded IoT devices.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface wangzongming/esp-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Edge Impulse
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Edge Impulse · recommended 2×
  2. OpenAI API · recommended 1×
  3. Google Cloud Dialogflow · recommended 1×
  4. Hugging Face Inference API · recommended 1×
  5. Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    How to add AI dialogue capabilities to ESP32 or Arduino projects cheaply?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Dialogflow
    3. Hugging Face Inference API
    4. Azure OpenAI Service
    5. TensorFlow Lite for Microcontrollers
    6. Edge Impulse
    7. ArduinoJson
    8. WiFiClientSecure
    9. HTTPClient

    AI recommended 9 alternatives but never named wangzongming/esp-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an integrated ASR, LLM, and TTS solution for embedded IoT devices.
    you: not recommended
    AI recommended (in order):
    1. Picovoice
    2. Picovoice Leopard
    3. Picovoice Porcupine
    4. Picovoice Rhino
    5. Picovoice Orca
    6. Edge Impulse
    7. Qualcomm AI Engine Direct
    8. Vosk
    9. Llama.cpp
    10. eSpeak-NG
    11. Piper
    12. Google Cloud Speech-to-Text
    13. Google Coral Edge TPU
    14. Google Dialogflow ES
    15. Google Dialogflow CX
    16. Google Gemini API
    17. Google Cloud Text-to-Speech

    AI recommended 17 alternatives but never named wangzongming/esp-ai. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of wangzongming/esp-ai?
    pass
    AI named wangzongming/esp-ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts wangzongming/esp-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wangzongming/esp-ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo wangzongming/esp-ai solve, and who is the primary audience?
    pass
    AI named wangzongming/esp-ai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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wangzongming/esp-ai — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite